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nly
Attitudes of pre-school and primary school pre-service
teachers towards inclusive education
Journal: Asia-Pacific Journal of Teacher Education
Manuscript ID: CAPJ-2012-0227.R2
Manuscript Type: Original Paper
Keywords: inclusion, pre-service teachers, inclusive education, education policy,
teacher training
URL: http://mc.manuscriptcentral.com/capj Email: [email protected]
Asia-Pacific Journal of Teacher Education
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Attitudes of pre-school and primary school pre-service teachers towards inclusive education
Teachers’ attitudes towards inclusion are important as they have the primary
responsibility of implementing inclusive education. Attitudes at the beginning of
teaching careers are likely to predict future attitudes. Some studies show a drop in
attitudes after leaving university education. Using the Teachers' Attitudes
Towards Inclusion (Amended) questionnaire, 465 pre-service teachers (located in
Victoria, Australia) from primary school and pre-school streams were examined
to determine the effect of a number of independent factors on Total Inclusion
Score; a measure of attitudes towards inclusion. Two-way ANOVAs revealed
module and year of study to be significant factors. A multiple regression showed
the factors combined accounted for 10% of the variance in Total Inclusion Score.
Participants that had studied a module on inclusive education or were in later
years of study were more positive towards inclusive education based on Total
Inclusion Score from the questionnaire. No significant differences for Total
Inclusion Score were found between pre-service teachers that study primary
school teaching or pre-school teaching. It is concluded that studying a module on
inclusive education is a particularly important factor in the development of pre-
service teacher attitudes towards inclusion.
Keywords: inclusion; pre-service teachers; inclusive education; primary school;
pre-school; students with disabilities; education policy; teacher training
Introduction
Providing education to those with special needs has increasingly become an issue of
moral necessity over the last few decades (Croll & Moses, 2000). Due to increasing
demands for schools to include those with special needs, many nations and non-state
organisations, such as the United Nations, have begun to implement policies that assist
in the education of children with diverse needs (Forlin, 2006). Of particular interest is
how inclusive education could be best implemented. This has often involved
investigation of teachers’ attitudes towards inclusion as they are frequently the primary
implementers of educational policy change (Boyle, 2012; Subban & Sharma, 2006).
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Forbes (2007) argues that despite the push for inclusion there has been a distinct lack of
appropriate planning by educational authorities. Furthermore Boyle, Topping, Jindal-
Snape, & Norwich (2012) suggest that there has been a limited understanding of the
definition of inclusion. Does inclusion only relate to students with physical and mental
disabilities, or is it more encompassing, relating to the diversity of all students? Topping
(2012) discusses the conceptualisation of inclusion at length and concluded at this time
that "inclusion has widened, and it is now taken to mean at least all children achieving
and participating despite challenges stemming from disability, poverty, social class,
race, religion, linguistic and cultural heritage, gender, and so on" (p. 17). Overall, it is
believed that in Australia, while its implementation varies, inclusive schooling is an
idea that garners support in all Australian educational authorities (Conway, 2012). This
is evidenced with the 2005 addition to the Disability Discrimination Act (1992), the
Disability Standards for Schools (2005) amendment which sought to ensure that
students with disabilities received appropriate access to education provision and that
they were not discriminated against.
The following article discusses the international development of inclusive education
and its relation to teachers attitudes, followed by a study within the state of Victoria,
Australia, that centres on the attitudes of teachers in training (i.e. pre-service teachers)
and their attitudes towards and understanding of inclusive education.
Historical Development of Inclusive Education
During the early 20th century children with special education needs were often educated
in special schools (Boyle, Scriven, Durning, & Downes, 2011) , but the idea of
educating these children in mainstream schools soon became popular (Zigmond, Kloo,
& Volonino, 2009). In the 1970s Australia began investigating political support for
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inclusive education (Interim Commitee for the Australian Schools Commission, 1973)
as well as eventually developing policy that made it illegal for schools to deny
enrolment on the grounds of disability (Commonwealth Government, 1992, 2010).
Other nations such as the UK, USA and Italy were also developing inclusive policy at
this time (Lauchlan & Fadda, 2012; Michaud & Scruggs, 2012). For example Italy
adopted Law 517 in 1977 leading to the closure of all "special schools", an initiative
which has been particularly successful in adapting the education system towards an
inclusive education system (Lauchlan & Fadda, 2012). The shift toward inclusive
education was also reflected in the UK during the 1970s with the Warnock Report
(Warnock, 1978), which was the precursor to UK legislation (The National Archives,
1980), and an instrumental move towards a more inclusive approach to education in that
country.
Perhaps the most important international indicator of commitment to inclusive
education was the Salamanca Statement (UNESCO, 1994). This international meeting
of education officials, representatives and policy makers had the goal of coming to an
agreement on how to best educate children with special education needs in 'regular'
schools. The result was an accord that inclusive education was the ethical minimum
required by education institutions. By focusing on the underlying needs of each child
rather than the educational needs of all children, educational institutions could be least
wasteful with their resources and most effective in their teaching of children. Wider
international legislation such as the United Nations Convention on the Rights of Persons
with Disabilities (UNCRPD) has ensured that self-determination and quality of life for
all people with additional support needs has become a universal right (Karr, 2011), not
just in the education sphere.
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The Importance of Teachers in Inclusive Education
Policy development in inclusive education has been shown to be an important factor in
the successful implementation of inclusive education (Sharma, Ee, & Desai, 2003). As
policy and opinion shifts towards a higher expectation of inclusion in educational
institutions, schools are expected to receive more funding, have a wider focus on
learning rather than achievement, and create diversity in the curriculum (Wu &
Komesaroff, 2007). Due to the increased pressures of inclusive education policy,
teachers are increasingly feeling the demands to implement changes in the classroom
(Boyle, 2007; Boyle, 2012). Added onto these policy and societal pressures is the
requirement of teachers to meet certain performance goals, leading many schools to
reconsider the implications of including children with "special education needs" (Peters,
Johnstone, & Ferguson, 2005). Pearson, Lo, Chui and Wong (2003) point out that
competition in examinations, an inflexible curriculum and poor ratio of students to
teachers are contrary to the ideas underlying the philosophy of inclusive education. The
importance of teachers in successful implementation of inclusion is evident since
teachers are the people charged with implementing and facilitating inclusive practice
with all children in a mainstream setting (Boyle, Jindal-Snape, Topping, & Norwich,
2012).
Indeed, it is argued that teachers’ attitudes towards inclusive education are the
main factor in how successfully educators include a diverse range of children into the
classroom (Forlin, Keen, & Barrett, 2008; Forlin & Sin, 2010; Subban & Sharma,
2006). Three types of variables have been found to influence teachers' attitudes
(Avramidis & Norwich, 2002). These variables are child-related, teacher-related and the
educational-environment. It is these teacher-related variables that this article turns its
focus to.
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Teacher-Related Variables
While research has been conducted on the relationship between attitudes towards
inclusion and the type and severity of a child's disability (i.e. child-related variables,
Lifshitz, Glaubman, & Issawi, 2004), or the availability of specialist support (i.e.
educational-environment related variables, Cook, Cameron, & Tankersley, 2007),
teacher-related variables are of particular importance due to the important roles of
teachers. Often research has considered the impact of factors such as age, gender,
teaching experience, grade level taught, experience with children with special education
needs, level of training, and contact with family or friends with perceived special needs
(Avramidis & Norwich, 2002).
Gender
Some studies on pre-service teachers have found that females are more positive towards
inclusion than males (Avramidis, Bayliss, & Burden, 2000; Burge, Ouellette-Kuntz,
Hutchinson, & Box, 2000), while others have found no significant differences
(Loreman, Forlin, & Sharma, 2007; Sharma, et al., 2003). The purported evidence for
females being more positive towards inclusion is that they are more 'caring' teachers
(Boyle, Topping, & Jindal-Snape, 2013).
Age
Age has often been found to be a non-significant factor in measurement of attitudes
towards inclusion (Loreman, et al., 2007). For those studies that have found age to be
important, it is often those student teachers or in-service teachers that are youngest that
are most positive (Avramidis & Norwich, 2002).
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Specialism.
Specialism refers to the subject area that a teacher may focus on. In primary school
students are exposed to specialist curriculum areas including, but not limited to,
physical education, art and music. Given this, are there differences between those that
study specialisms (i.e. primary stream) and those that don't (i.e. pre-school stream)?
Avramidis et al. (2000) argue that those that study science courses are more focused on
academic performance and thus less positive towards inclusion, whereas those that
study humanities are more positive.
Teaching experience and year of study
Inconsistencies have also arisen in the inclusive education literature over the effect of
teaching experience. Hastings and Oakford (2003) and Ross-Hill (2009) showed no
significant differences for attitudes towards inclusion regardless of previous experience.
Contrary to this, Boyle, et al. (2013) and de Boer, Pijl, and Minnaert (2010) found that
teachers who had just left university were significantly more positive than those with
further teaching experience. Other research has found that pre-service teachers are more
positive towards inclusion in their final year of study than their first year of study (Sosu,
Mtika, & Colucci-Gray, 2010).
Perceived experience with people with special educational needs
Subban and Sharma (2006) found that teachers with close friends with a disability were
more confident in regards to implementing inclusive education. This confidence is
important in teachers as it often relates to willingness to include a diverse range of
children and students with disabilities (Sharma, Forlin, & Loreman, 2007; Sharma,
Moore, & Sonawane, 2009). Contact with not only family members, but any close
contact with a person with a disability leads to more positive attitudes towards inclusion
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(Burge, et al., 2000; Loreman, et al., 2007).
Module in special education or inclusion
Carroll et al. (2003) found no significant impact of a special education course on the
level of comfort that teachers felt when dealing with those with disabilities. On the other
hand Van Reusen et al. (2000) and Forlin, Loreman, Sharma and Earle (2009) found
that those that were more positive towards inclusion generally had higher levels of
training in special education. Studies that have developed or analysed modules on
special education and inclusive education have found that they improved attitudes
towards inclusion (Shade & Stewart, 2001; Sharma, Forlin, & Loreman, 2008;
Spandagou, Evans, & Little, 2008; Subban & Sharma, 2006). Some have argued that for
inclusive education to be successful, units on special education must be compulsory as
well as some form of special education practicum be included in teacher training
(Forbes, 2007). Sharma et al. (2009) found that those studying postgraduate degrees had
the most positive attitudes towards inclusion as they often had completed units in
special education or inclusion.
Stream of enrolment
Pre-service teachers are most often enrolled in either an early childhood stream (pre-
school), primary stream or secondary stream. Ross-Hill (2009) found that secondary
school teachers were significantly less positive towards inclusion than those that taught
preschool and primary school. However, no significant differences were found between
those that taught primary and pre-school with pre-school teachers being the most
positive. One view is that due to a focus on curriculum, assessment and subject matter,
inclusion in secondary schools has had less opportunity to succeed (Pearce, 2009).
Given these findings, it would be expected that both pre-school and primary school
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teachers would have more positive attitudes than high school teachers, but there would
be no significant differences between pre-school and primary school teachers.
Alternatively, some research has shown high school teachers to be more positive than
primary school teachers (McCormack & O’ Flaherty, 2010). It is obvious that these
inconsistencies make understanding the impact of stream on inclusive attitudes difficult,
and therefore a deeper understanding of pre-school and primary school teacher attitudes
is important.
Aim
Due to the inconsistencies in much of the research that investigates the impact of
teacher-variables’ on attitudes towards inclusion (Avramidis, et al., 2000), this study
aims to investigate factors that have received less attention as well as to attempt to
clarify the impact of those factors that have received more focus vis-à-vis research
studies but have resulted in inconsistencies. By using a large sample of pre-service
teachers it will be possible to determine the impact of many of the factors discussed
above. This study will be focusing on those participants enrolled in pre-school
and primary streams of teaching (c.f. related studies focussing specifically on primary
(Varcoe & Boyle, 2013) and secondary pre-service teaching (Costello & Boyle, 2013)).
This will provide a unique sample to test the differences in attitudes towards inclusion
between pre and primary pre-service teachers. This study will also analyse the impact
factors such as age, gender, previous teaching experience, regular contact with people
with disabilities, and having completed a module on inclusive education, have on
attitudes towards inclusion.
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Method
Participants
Participants were recruited from the population of pre-service teachers at four university
campuses in the Australian state of Victoria. Attempts were made to recruit participants
across various year levels and streams. In total, 465 participants were recruited. This
was made up of 63 males (M = 24.29 years old, SD = 7.59 years) and 402 females (M =
24.34 years old, SD = 7.57 years). The age range for the sample was 17 to 53. Table 1,
shows the information gathered and summarises frequencies and percentages of the
participants by stream of enrolment.
INSERT TABLE 1 HERE
Materials
Teachers' Attitudes Towards Inclusion Scale Adjusted
The Teachers' Attitudes Towards Inclusion Scale Adjusted (TAISA; Appendix A)
comprises 21 items that measure pre-service teacher attitudes towards inclusion. This
survey instrument was adjusted from the original Teachers' Attitudes Towards Inclusion
Scale (TAIS) detailed in Boyle, Topping and Jindal-Snape (2013). In order to adjust the
scale to examine pre-service teacher attitudes rather than in-service teacher attitudes all
questions were replaced, removed or altered to be relevant to pre-service teaching.
Therefore while the TAIS has 27 items, the TAISA has 21 items. As an example,
participants are asked if they agree or disagree with the following statement: "I feel
competent to work with students who have varying levels of difficulties." The original
scale was found to be reliable with a Cronbach's Alpha of .889 (Boyle, et al., 2013). For
the sample of 465 participants the adjusted scale was found to have acceptable
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reliability with a Cronbach's Alpha of .74 (Cronbach, 1951).
At the end of the attitude scale of the TAISA participants were asked to provide
their own definition of 'inclusion'. These definitions were then coded by the author and
one other researcher based on predefined groupings. Definitions were split into five
categories: 0 = no answer, 1 = did not define integration or inclusion, 2 = defined
integration, 3 = basic definition of inclusion, and 4 = advanced definition of inclusion.
Using the Kappa Measure of Agreement (Pallant, 2011) inter-rater reliability between
the researchers classification of definition was found to be .89. Any level of agreement
above .8 is 'very good' (Peat, 2001). Definitions were judged by two researchers against
the following definition by Zoniou-Sideri and Vlachou (2006):
Inclusion and inclusive education are concerned with the quest for equity,
social justice, participation, and the removal of all forms of exclusionary
assumptions and practices. It is based on a positive view of difference and
has at its heart the principle that all pupils, including those who are
'different', are considered to be valued and respected members of the school
community. (p. 379)
To qualify as advanced the definition needed to identify factors such as modifying
curriculum to suit needs of students, valuing all students, ideas about equality and
justice, and avoiding limiting the definition to individual groups such as those that have
physical disabilities. A definition was classified as basic if it failed to mention processes
such as changes in the education environment, or make no mention of the values and
inclusionary practices that underlie the practice of inclusion. Finally definitions were be
classified as integration if it did not identify the need of modifying the environment to
the child or limited inclusion to a specific group of children rather than all children. If
the definition discussed something that was neither classifiable as inclusion or
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integration then it was to be scored as a 'one' and if no definition was given at all it was
coded as a 'zero'.
Exploratory principle components analysis
In order to draw further information from the TAISA, the 21 items in the scale were
subjected to principle components analysis (PCA). The initial PCA found five
components with eigenvalues exceeding one, one being the suggested minimum (Field,
2009). Using software for calculating Parallel Analysis (Watkins, 2000) and the scree
plot (Catell, 1966) it was determined that three components were to be retained.
Varimax rotation was used in this PCA as it is the most frequently used orthogonal
rotation (Pallant, 2011). This three component solution explained a cumulative variance
of 40.27%. By looking at the rotated component matrix it is possible to see that four
items loaded onto two components, suggesting that Thurstone's (1947) simple structure
was not entirely achieved. However as there was no cross loadings between component
two and component three they appear to be the most unique.
By analysing the items that loaded on each of the components (Pallant, 2011) it is
possible to title these components Positive Affect (PA), Training and Perceived
Competence (TAPC) and Negative Affect (NA). PA consists of many statements that
are framed in a positive, general and light manner relating to inclusion. Statements in
the NA component revolve around the negative results of inclusive education. Finally,
TAPC consisted of statements that related to how confident participants are in teaching
a diverse range of students. Reliabilities for each component were found to be internally
consistent.
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Procedure
Pre-service teachers were recruited in education related lectures and tutorials.
Participants had the opportunity to take part in a draw for a $100 gift voucher. The
Statistical Package for Social Scientists, version 17 (SPSS V17) was used for data input
and analysis. The data was cleaned, checked for accuracy and missing data was attended
to by excluding cases pairwise (Pallant, 2011). Some items, particularly those on the
NA component, were reverse scored.
Results
A number of analyses were conducted using the four campuses under study on 'Total
Inclusion Score' and the three components found in the factor analysis: Positive Affect
(PA), Training and Perceived Competence (TAPC) and Negative Affect (NA).
Stream and other Independent Variables on Total Inclusion Score
A number of two-way ANOVAs were calculated for Total Inclusion Score in order to
determine the significance of stream (i.e. pre-school and primary) in combination with
the other demographic independent variables. The results of these analyses are shown in
Table 2. As pre-school pre-service teachers were only found at one of the four campuses
under study, there were insufficient numbers for an interaction to be calculated. Age
was grouped into two groups, '23 and below' and '24 and above'.
INSERT TABLE 2 HERE
As can be seen from Table 2, stream was non-significant for all analyses. There
was a significant main effect of year of study, F(4,431) = 3.627, p < .05, age, F(1,437)
= 6.639, p < .05, and module, F(1,438) = 20.830, p < .05. An interaction was also found
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between year of study and stream of study, F(4,431) = 5.501, p < .05. A more stringent
significance level was set (.0063) due to the number of tests completed using a
Bonferroni adjustment (Pallant, 2011). Only "age" became non-significant after this
adjustment. Table 3, displays the mean Total Inclusion Score of students that have and
have not studied a module on inclusive education across the pre and primary streams.
Table 4, shows the means for pre and primary school pre-service teachers across years
of study on Total Inclusion Score. Table 5 shows the post-hoc analysis for differences in
Total Inclusion Score based on year of study.
INSERT TABLE 3 HERE
INSERT TABLE 4 HERE
INSERT TABLE 5 HERE
Module and Year of Study on Components
As 'module' and 'year of study' were found to be significant main effects on Total
Inclusion Score, further investigation was conducted to determine their effect on the
component scores. Table 6 shows that module remained important with a significant
main effect on PA, TAPC and NA, F(1,443) = 13.572, p < .05, F(1,451) = 8.534, p <
.05, and F(1,444) = 11.583, p < .05, respectively. Table 7 shows a significant main
effect for year of study on PA, F(4,436) = 6.686, p < .05, and an interaction effect
between stream and year of study, F(4,436) = 2.653, p < .05. An interaction was also
found on TAPC, F(4,444) = 4.527, p < .05. Lastly year of study had a main effect on
NA, F(4,437) = 3.480, p < .05, as did the interaction, F(4,437) = 3.069, p < .05. As with
previous analyses a Bonferroni adjustment was made and a new p value of .0083 was
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set. All significant effects remained except for the interaction between stream and year
of study on PA and NA.
INSERT TABLE 6 HERE
INSERT TABLE 7 HERE
Definition Rating
A Chi-square test for independence indicated a significant association between
definition classification and stream of study, χ²(4, n = 465) = 18.614, p < .05, Cramer's
V = .200. This Cramer's V effect size is small (i.e. between .01 and .30; Pallant, 2011).
Table 8 shows the counts and percentages of definition classifications across pre-school
and primary school pre-service teachers. It appears that in general those in a primary
school stream could provide a definition more aligned with the working definition used
in this study than those in a pre-school stream. No association was found between
definition classification and year of study, χ²(16, n = 463) = 25.099, p > .05, Cramer's V
= .116, or between definition classification and whether the participant had studied a
module/unit on inclusive education, χ²(4, n = 464) = 5.493, p > .05, Cramer's V = .109.
INSERT TABLE 8 HERE
To further examine these differences a two-way ANOVA was run between
Stream and Definition classification on each of the dependent variables. As can be seen
in Table 9, there is a main effect of definition classification on PA, F(4,438) = 3.647, p
< .05, and definition classification on NA, F(4,439) = 5.205, p < .05. Both the main
effects of definition classification on PA and NA remain significant after making a
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Bonferonni adjustment (p < .01) due to non-equal variances. No significant differences
were found between mean scores of Total Inclusion Score, PA, TAPC and NA but it is
noted that those pre-service teachers that were able to provide a definition more aligned
with the working definition used in this study were higher on Total Inclusion Score, PA,
TAPC and NA.
INSERT TABLE 9 HERE
Multiple Regression
A multiple regression was calculated in order to consider all the independent variables
at once. The variables used were campus, gender, contact, stream, study year, age, unit
and experience. The regression made use of 12 predictors. Variables included in the
multiple regression accounted for 10% of the variance in Total Inclusion Score. An
ANOVA of the regression model suggests that it was statistically significant, F(12,428)
= 3.971, p < .0005. Two independent variables unique contributions to the regression
model were found to be statistically significant; if a participant had attended Campus
One or if they had studied a module or unit on inclusive education.
Discussion
Variables
Stream of study
No differences in attitudes towards inclusion were found between pre and primary
streams. These findings are supported by Ross-Hill (2009). Previous research has shown
that pre-school teachers are the most positive of pre-school, primary school and
secondary school teachers (Avramidis, et al., 2000). However based on the mean Total
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Inclusion Score for this study, a general trend in this sample was that primary pre-
service teachers had more positive attitudes than pre-school pre-service teachers.
Potential reasons for the differences between this study and previous studies are
numerous, for example this could relate to the working definition used in this study,
differences in the scales used to measure attitudes, or more importantly a difference in
the way pre-service teachers in this study have been educated about inclusion compared
to participants in previous studies. As no statistically significant findings were found
across streams, it is necessary to consider the wider impact of the other variables
considered.
Age and gender
No differences in attitudes were found across genders, nor were any differences found
when considering gender and stream together. This is consistent with studies that have
shown no gender differences in attitudes towards inclusion (Loreman, et al., 2007;
Sharma, et al., 2003). After adjusting for the large number of analyses conducted, age
was not significant at the more stringent significance level.
Perceived experience with people with special education needs
This study failed to support the idea that people that have regular contact with friends or
family with disabilities are more positive towards inclusion (Burge, et al., 2000;
Loreman, et al., 2007; Subban & Sharma, 2006). This was unexpected and further
research is required to clarify why no significant differences were found within this
cohort.
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Specialism
Only a limited number of studies have previously considered specialism in regards to
inclusive attitudes (Avramidis, et al., 2000). Previous literature indicates that those
studying mathematics or science courses would be significantly less positive than those
that studied other specialities. In this study, specialism was not found to be a significant
factor in participants’ attitudes towards inclusion for either primary or pre-school pre-
service teachers. As mentioned previously, specialism is a concept more relevant to
primary school and secondary streams where specialist classes are often taught (e.g.
physical education or art). Even then specialist classes are limited at primary school
compared to secondary school where curriculum becomes even more segmented (e.g.
history, English, literature, and mathematics).
Year of study
The variable 'year of study' was the only variable that was shown to have an interaction
effect with stream. It was found that postgraduate students were significantly different
from 1st year students and 4th year students, and 1st year students were significantly
different from both 2nd year students and 4th year students. Postgraduate students
enrolled in the pre-school stream were in fact the least positive compared to all year
levels of study in both the pre and primary school streams. In general, as year of study
increased, attitudes towards inclusion became more positive. Those in the primary
school sample became more positive across the years of study than those in the pre-
school sample. While this is consistent with work that shows pre-service attitudes
towards inclusion improve as year of study increases (Sosu, et al., 2010), it is contrary
to research that shows as years of experience increase, attitudes towards inclusion go
down (de Boer, et al., 2010). It is also inconsistent with that research that shows no
effect of length of experience (Hastings & Oakford, 2003; Ross-Hill, 2009). An
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explanation for this is that while year of study might be related to a higher length of
experience, in pre-service teachers, a drop in attitudes typically found in in-service
teachers is mitigated by both modules on inclusive education as well as lengthy periods
of non-teaching between placements. Another consideration here is that there is no
distinction made regarding the diversity of postgraduate students. Students studying
postgraduate units in education could previously have extensive background in
teaching, they could have immediately transferred from an undergraduate course, or
they could have been from other backgrounds with the intention of re-training as
teachers.
Differences across year of study were investigated on the individual components
found in the principal components analysis. Year of study was found to be a main effect
on Positive Affect (PA) and Negative Affect (NA). Also an interaction between stream
and year of study was found to be significant on Training and Perceived Competence
(TAPC). It could be argued that as year of study increases pre-service teachers gain the
knowledge and experience to better understand the statements that make up the PA and
NA components. The effect size for PA (.058) was larger than the effect size for NA
(.031) possibly due to the fact that people find it easier to agree with statements that are
framed more positively, known as the Pollyanna principle (Armstrong & Hogg, 2001;
Matlin & Stang, 1978). However it was unexpected to find no significant difference on
the TAPC component. While it would be logical to assume that as pre-service teachers
go through their four years of training that they would feel that their training and
competence has increased, research has shown that both pre-service teachers and in-
service teachers are often concerned about their ability to include children with "special
education needs" even when they have training in the field (Bradshaw & Mundia,
2006).
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Experience in a teaching role
No significant differences were found in attitudes between those that had teaching
experience and those that had not. It appears that it is the length of experience that is
significant in teacher attitudes, as shown by year of study, rather than the actual having
had experience or not.
Module on inclusive education
Differences in attitudes were found between those students that had studied a module on
inclusive education and those that had not. It appeared that those that studied a module
were more positive about inclusion based on Total Inclusion Score. These findings are
consistent with research on the positive impact of modules on inclusive education
(Forlin, et al., 2009; Sharma, et al., 2008; Subban & Sharma, 2006; Van Reusen, et al.,
2000). This emphasises the importance of modules on inclusive education in either
improving attitudes towards inclusion or maintaining already existing positive attitudes.
Across the whole sample only 47% of student teachers had studied a module on
inclusive education. While consideration must be made for those only just beginning
university (i.e. 1st year), this shows that there is scope for improvement in attitudes
through use of inclusive education modules. Another important consideration here is
that the questionnaire did not ask participants if they had studied a module on special
education. While there is a distinction between these two kinds of modules, participants
may have been unaware of this difference.
Analysing the impact of stream and module on the three components also
revealed some useful information. Having studied a module significantly impacted the
results of TAPC. This supports the idea that modules on inclusive education improve
pre-service teacher attitudes and assist with preparation for teaching diverse children
(Sharma, et al., 2008; Subban & Sharma, 2006). Specifically modules increase student
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teachers' beliefs that they have sufficient training and competence to teach children with
diverse needs.
Implications, Limitations and Future Research
Consistent with previous research (e.g. Forlin, et al., 2009), the mean scores of Total
Inclusion Score, PA, NA and TAPC were generally above 3.5, indicating that primary
school and pre-school pre-service teachers in this study were generally positive towards
inclusion. However, based on the findings of this research there are important
implications for pre-service teachers, particularly the effect of having studied a module
on attitudes towards inclusion. While year of study was a significant factor in this
research, this needs to be interpreted with caution, as it was not a significant predictor in
the multiple regression. In fact, the multiple regression, which included all the
independent variables as predictors except specialism, only accounted for 10% of the
variance in Total Inclusion Score. This implies that there are many more factors that are
impacting on pre-service teacher attitudes towards inclusion. Further research could
determine these 'other factors'.
Also noteworthy is the fact that primary school pre-service teachers were able to
provide definitions more aligned with the working definition used in this study than
those enrolled in pre-school streams. The ability to define inclusion was shown to
significantly impact the PA and NA components. These significance values along with
the increase in mean scores for those that were able to provide definitions more aligned
with the working definition used in this study show the importance of simply
understanding what inclusion is as having an underlying impact on attitudes towards
inclusion. However, given the quantitative focus of this study, findings based on
statistical interpretation of the participants qualitative responses should be considered
carefully.
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While these implications are important to consider, a few limitations have been
identified as well as potential avenues for future research. Firstly the TAISA was
adapted from a relatively new instrument, the TAIS. While both appear to be
psychometrically sound, the results need to be interpreted with caution due to its
relative recent introduction to the literature base. Secondly, as the questionnaires are
self-report, it is important to consider the impact of socially desirable responding.
Thirdly, some of the questions in the questionnaire are based on deficit, that is, they
focus on the difficulties students may experience and thus it is possible participants
were unduly influenced by the phrasing of some questions.
Another important point is that some areas of the sample were skewed. For
example very small numbers of those enrolled in specialisms, few male participants in
the pre-school sample and very few participants from Campus One and Three were
recruited. Results relating to specialism, gender and campus should be interpreted with
caution. Another important point is that all four campuses are located in one single state
in one country, making it difficult to generalise the findings overall.
The results and limitations of this study pave the way for some interesting future
research. Most importantly, further research should be done to investigate the impact of
modules on inclusion on the attitudes of pre-school and primary pre-service teachers
towards inclusion.
Conclusion
This study has investigated the impact of various variables on pre-service teachers
attitudes towards inclusion. In general it appears most pre-service teachers enrolled in
primary school and pre-school streams were positive towards inclusion which is
contrary to a recent review that showed teachers had a negative or neutral attitude
towards inclusion (de Boer, et al., 2010). It was found that year of study and having
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studied a module on inclusive education were significant factors on the Total Inclusion
Score as measured by the TAISA. No significant impact of stream was found across this
study. The importance of studying a module on inclusive education and having an
understanding of inclusive education are clearly beneficial to pre-service teachers as has
been exemplified in this study. Therefore, universities should consider the identified
positive benefits for good teaching practice that come from modules on inclusive
education for all pre-service students not just those choosing inclusive education as an
elective subject. This should facilitate a more inclusive approach from new graduates
who will consequently be somewhat more efficacious and skilled to teach across the
range of academic abilities inherent in a modern education system. This, after all, is the
goal, which should have inclusive mainstream practice at its core.
Acknowledgements: Thank you to [ANONYMISED]
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Table 1. Pre-service teacher demographics by sample size and percentage
Preschool Primary Total Variable n % n % n % Gender Male 2 3% 61 97% 63 100% Female 134 33% 268 67% 402 100% Age in years <=23 68 23% 229 77% 297 100% >=24 59 41% 85 59% 144 100% Year of enrolled study 1st year 48 27% 133 73% 181 100% 2nd year 15 38% 25 63% 40 100% 3rd year 15 17% 72 83% 87 100% 4th year 34 46% 40 54% 74 100% Postgraduate 24 30% 57 70% 81 100% Completed a unit in inclusion Yes 80 36% 141 64% 221 100% No 56 23% 187 77% 243 100% Campus location Campus One 0 0% 5 100% 5 100% Campus Two 0 0% 167 100% 167 100% Campus Three 0 - 0 - 0 - Campus Four 136 46% 157 54% 293 100% Contact Yes 41 34% 80 66% 121 100% No 94 27% 248 73% 342 100% Specialism None 131 49% 138 51% 269 100% Mathematics 0 0% 4 100% 4 100% Social Sciences 1 3% 39 98% 40 100% Science 0 0% 5 100% 5 100% Art 0 0% 19 100% 19 100% SOSE 0 0% 16 100% 16 100% Business 0 0% 2 100% 2 100% Physical Education 1 1% 74 99% 75 100% LOTE 0 0% 3 100% 3 100% Music 0 0% 5 100% 5 100% Other 2 8% 24 92% 26 100% Experience in teaching role Yes 88 25% 264 75% 352 100% No 47 42% 65 58% 112 100% Total Sample 136 29% 329 71% 465 100% Note: Sample sizes do not consistently total the overall sample size of 465 due to missing participant data across some areas of demographic information.
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Table 2. Two-Way ANOVA: Stream and Each Demographic IV Effect on Total Inclusion
Score
Stream Sig. Variable Sig. Interaction
Variable F p pη² F p pη² F P pη²
Campus 0.198 .657 .000 1.697 .184 .008 . . .
Gender 1.022 .313 .002 0.656 .418 .001 1.104 .294 .003
Family/Friend 0.234 .629 .001 1.550 .214 .004 1.244 .265 .003
Year of Study 0.086 .770 .000 3.627 .006* .033 5.501 .000* .049
Specialism 1.557 .213 .004 1.230 .270 .028 0.340 .797 .002
Age 0.529 .467 .001 6.639 .010* .015 2.524 .113 .006
Module 0.388 .533 .001 20.830 .000* .045 0.147 .701 .000
Experience 0.020 .887 .000 1.420 .234 .003 0.946 .331 .002
Note: * indicates significance at p < .05., Bold indicates significance at p < .0063
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Table 3. Mean for Total Inclusion Score between Stream and Module
Stream Studied a Module n Mean
Pre-School Yes 77 4.072
No 52 3.897
Primary Yes 136 4.114
No 177 3.907
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Table 4. Mean for Total Inclusion Score between Stream and Current Year of
Study
Stream Current Year of Study n Mean
Pre-School (n = 129) 1st Year 45 3.912
2nd Year 15 3.946
3rd Year 13 4.242
4th Year 33 4.172
Postgraduate 23 3.834
Primary School (n = 312) 1st Year 124 3.937
2nd Year 25 3.901
3rd Year 68 3.967
4th Year 40 4.033
Postgraduate 55 4.200
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Table 5. Tukey's HSD for Year of Study on Total Inclusion Score
Base /Comparison 1st Year 2nd Year 3rd Year 4th Year Postgraduate
1st Year - MD: -0.013
SE: 0.069 Sig: .000
MD: 0.081
SE: 0.053 Sig.: .549
MD: 0.165
SE: 0.055 Sig.: .023
MD: 0.162
SE: 0.054 Sig.: .023
2nd Year MD: 0.013
SE: 0.069 Sig.: .000
- MD: 0.093
SE: 0.076 Sig.: .732
MD: 0.178
SE: 0.077 Sig.: .143
MD: 0.174
SE: 0.076 Sig.: 0.15
3rd Year MD: -0.081
SE: 0.053 Sig.: .549
MD: -0.093
SE: 0.076 Sig.: .732
- MD: 0.085
SE: 0.063 Sig. .665
MD: 0.081
SE: 0.062 Sig. .688
4th Year MD: -0.165
SE: 0.055 Sig.: .023
MD: -0.178
SE: 0.077 Sig.: .143
MD: -0.085
SE: 0.063 Sig. .665
- MD: -0.004
SE: 0.064 Sig.: .000
Postgraduate MD: -0.162
SE: 0.054 Sig.: .023
MD: -0.174
SE: 0.076 Sig.: 0.15
MD: -0.081
SE: 0.062 Sig. .688
MD: 0.004
SE: 0.064 Sig.: .000
-
Note: Bold indicates significance at p < .05, MD = Mean Difference, SE = Standard Error, Sig. =
Significance
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Table 6. Two-Way ANOVA of Stream and Module on Components.
Stream Module Interaction
Component F p pη² F p pη² F p pη²
PA 3.208 .074 .007 13.572 .000* .030 0.170 .680 .000
TAPC 1.092 .297 .002 8.534 .004* .019 0.492 .483 .001
NA 0.261 .610 .001 11.583 .001* .025 0.026 .871 .000
Note: * indicates significance at p < .05., Bold indicates significance at p < .0083
PA = Positive Affect, TAPC = Training and Perceived Competence, NA =
Negative Affect
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Table 7. Two-Way ANOVA of Stream and Year of Study on Components.
Stream Year of Study Interaction
Component F p pη² F p pη² F p pη²
PA 0.790 .375 .002 6.686 .000* .058 2.653 .033* .024
TAPC 2.936 .087 .007 .381 .822 .003 4.527 .001* .039
NA 0.106 .744 .000 3.480 .008* .031 3.069 .016* .027
Note: * indicates significance at p < .05., Bold indicates significance at p < .0083
PA = Positive Affect, TAPC = Training and Perceived Competence, NA =
Negative Affect
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Table 8. Count and Percentages of Definition Ratings.
Definition
None Neither Integration Basic Advanced
Pre-School Count 55 23 7 44 7
% Stream 40.40% 16.90% 5.10% 32.40% 5.10%
% Total 11.80% 4.90% 1.50% 9.50% 1.50%
Primary Count 82 41 14 151 41
% Stream 24.90% 12.50% 4.30% 45.90% 12.50%
% Total 17.60% 8.80% 3.00% 32.50% 8.80%
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Table 9. Two-Way ANOVA: Stream and Definition on each Dependent Variable
Stream Sig. Definition Sig. Interaction
F p pη² F p pη² F P pη²
TIS 0.005 .945 .000 2.244 .064 .020 0.602 .662 .006
PA 0.097 .755 .000 3.647 .006* .032 0.340 .851 .003
TAPC 0.190 .663 .000 0.569 .686 .005 0.762 .550 .007
NA 0.159 .690 .000 5.205 .000* .045 0.200 .938 .002
Note: * indicates significance at p < .05., Bold indicates significance at p < .01, PA =
Positive Affect, TAPC = Training and Perceived Competence, NA = Negative Affect
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Appendix A
The Teachers' Attitudes Towards Inclusion Scale Adjusted
Please circle the appropriate item
I. Please indicate your gender:
Male Female
II. Does a member of your family or a friend with whom you have regular contact with have additional support needs?
Yes No
III. Please select the course that you are studying:
____________________________________________________________________
IV. What is your current year of study? 1 2 3 4 Post Grad
V. What is your specialism/proposed specialism (e.g. physical education, psychology) __________________________________________________________
VI. Please indicate your age: ______________
VII. Have you studied a module or unit on inclusive education?
YES NO
VIII. Have you experience of working in a school in some form of teaching support role?
YES NO
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FOR ALL THE FOLLOWING QUESTIONS PLEASE INDICATE WHETHER YOU DISAGREE OR AGREE WITH THE STATEMENT BY SELECTING A
SCORE TO REPRESENT YOUR VIEW (Strongly Agree) 6 5 4 3 2 1 (Strongly Disagree)
1. Students with additional support needs should be educated in a mainstream school
2. Educating children with additional support needs in mainstream classes has a detrimental effect on the other children in the class.
3. I feel that my teacher-training programme is preparing me adequately for working with all children irrespective of disability.
4. I feel competent to work with students who have varying levels of difficulties.
5. Students with additional support needs have the social skills required to behave appropriately in the classroom.
6. The presence of students with additional support needs in my mainstream class will have only a minimal affect upon my implementation of the standard curriculum.
7. Including children with additional support needs in the classroom can adversely effect the learning environment of the class.
8. A lot of the learning strategies employed in the classroom are applicable to all students not just those with additional support needs.
9. Some children have difficulties that mean that they should not be educated in
mainstream schools.
10. I will be able to make a positive educational difference to students with additional support needs in my classroom.
11. Student peers will reject students with additional support
12. Students performing at a level more than three years below their chronological age should still be educated in mainstream classes.
13. Children with Social and Emotional Behavioural Difficulties should be educated in the mainstream class only if there is sufficient support in place for the class teacher.
14. It is not beneficial for children with additional support needs to be educated in mainstream schools.
15. It is my job, as a teacher, to provide alternative materials for students who have additional support needs (e.g. printed sheets of work from the whiteboard).
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16. The daily or weekly formative assignments that are given to students to assess the class should be adapted for children with additional support needs.
17. The teacher should usually attempt to ensure that all the children in the class, irrespective of levels of difficulty or ability, are able to participate in the class as much as is possible.
18. With appropriate support, I could teach all students (including additional support needs) in the same class.
19. A teacher, If given what are regarded to be appropriate resources, could teach the vast majority of children with additional support needs.
20. Children with additional support needs learn best when grouped with others with similar needs.
21. I do not support the policy of inclusion no matter how much extra support the teacher is given in the class
PLEASE PROVIDE YOUR DEFINITION OF INCLUSIVE EDUCATION:
______________________________________________________________________
______________________________________________________________________
______________________________________________________________________
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REVIEWER COMMENTS AUTHOR RESPONSE
Reviewer: 1
Literature and discussion: The discussion
of specialism seems tangential, so perhaps
it could be reduced. Some material on
secondary education could also be
removed.
The authors acknowledge this paragraph is not
concise and thus have rewritten the paragraph to
be more succinct and relevant.
ORIGINAL:
Specialism refers to the subject area that a
teacher may focus on. This is a concept that is
less relevant to those that focus on pre-
school/kindergarten teaching and more relevant
to those that teach in primary schools and
secondary schools where students are exposed
to specialist curriculum areas including, but not
limited to, physical education, history, art,
literature. Given this, are there differences
between those that study specialisms (i.e.
primary stream) and those that don't (i.e. pre-
school stream)? It has been found that those
studying science courses are less positive
towards inclusion than those that study
humanities (Avramidis, et al., 2000). The
authors argue that this is because science
teachers are more focused on academic
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performance. However, they also admit that
little research is available to back up this claim.
CHANGED:
Specialism refers to the subject area that a
teacher may focus on. In primary school
students are exposed to specialist curriculum
areas including, but not limited to, physical
education, art and music. Given this, are there
differences between those that study specialisms
(i.e. primary stream) and those that do not (i.e.
pre-school stream)? Avramidis et al. (2000)
argue that those that study science courses are
more focused on academic performance and
thus less positive towards inclusion, whereas
those that study humanities are more positive.
Method (a): The instrument indicates that
the questions are relevant for school
education and a focus on deficit, so this
should be addressed in limitations
Although the authors acknowledge the example
question used focuses on "difficulties", not
every question focuses on deficit. Regardless,
this has been addressed in the limitations as the
authors acknowledge that the phrasing of
questions can influence respondents.
ADDITION IN LIMITATIONS:
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Thirdly, some of the questions in the
questionnaire are based on deficit, that is, they
focus on the difficulties students may
experience and thus it is possible participants
were unduly influenced by the phrasing of some
questions.
Method (b): Comparison of attitudes is
made against a working definition derived
from literature on school education and
deficit-based constructions of diversity.
More discussion of how comparison was
made would illuminate decision-making.
The authors acknowledge that there was a lack
of detail in explaining how this process was
completed. This section has been updated and
the following explanation added.
To qualify as ‘advanced’ the definition needed
to identify factors such as modifying curriculum
to suit needs of students, valuing all students,
ideas about equality and justice, and avoiding
limiting the definition to individual groups such
as those that have physical disabilities. A
definition was classified as ‘basic’ if it failed to
mention processes such as changes in the
education environment, or make no mention of
the values and inclusionary practices that
underlie the practice of inclusion. Finally
definitions were classified as ‘integration’ if it
did not identify the need of modifying the
environment to the child or limited inclusion to
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a specific group of children rather than all
children. If the definition discussed something
that was neither classifiable as inclusion or
integration then it was to be scored as a 'one'
and if no definition was given at all it was
coded as a 'zero'.
Discussion: Stream of enrolment
discussion focuses on a non-significant
finding against a working school-based
definition. Reduce or discuss possible
factors such as differences in teacher
preparation related to varying
constructions of diversity and inclusion
relevant to the context of teaching work in
the sectors.
The initial discussion of Stream of Study has
been edited to discuss potential factors for the
non-significant results.
ADDITION:
Potential reasons for the differences between
this study and previous studies are numerous,
for example this could relate to the working
definition used in this study, differences in the
scales used to measure attitudes, or more
importantly a difference in the way pre-service
teachers in this study have been educated about
inclusion compared to participants in previous
studies.
Renaming "better definitions" as "more
advanced" does not solve the concern so
perhaps you meant definitions more
aligned with the working definition?
The authors thank the reviewer for this
suggestion and have made appropriate changes,
particularly in the section under the heading
"Definition Rating"
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For example:
It appears that in general those in a primary
school stream could provide a definition more
aligned with the working definition used in this
study than those in a pre-school stream
OR
Also noteworthy is the fact that primary school
pre-service teachers were able to provide
definitions more aligned with the working
definition used in this study than those enrolled
in pre-school streams.
Reviewer: 2
Consistent use of ‘special educational
needs’ is required if this term is to be used
(Please see Booth & Ainscow, for
example, for a critique of this term).
Due to changes relevant to another comment by
the reviewer, the authors believe this comment
has been satisfactorily addressed
In exploring the history of Inclusive
Education, the absence of any mention of
the UNCRPD seems surprising. I
recommend adding.
The authors thank the reviewers for pointing
this out and we have included the following
paragraph at the end of the short history of
inclusive education section.
Additional paragraph:
Wider international legislation such as the
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United Nations Convention on the Rights of
Persons with Disabilities (UNCRPD) has
ensured that self-determination and quality of
life for all people with additional support needs
has become a universal right (Karr, 2011), not
just in the education sphere.
Editing is still required in a number of
places. Please carefully proof read.
The manuscript has been proof read and edited
where appropriate.
While many improvements have been
made in this regard, it is essential to
consistently avoid dehumanising people
with ‘SEN’. Please revise the subheadings
to ensure that where a person/people are
being referred to this isn’t replaced with
SEN.
The heading referred to has been changed from
"Perceived experience with special education
needs" to "Perceived experience with people
with special education needs"
Each use of the term "special education needs"
has been considered, and more appropriate
terminology has been used where necessary.
However, in some instances the term remains so
as not to misrepresent previous literature which
used this term as a factor in their own study.
In reporting reliability of the TAISA it
needs to be made clear that this is
Cronbach’s Alpha for the amended scale,
following the original – at present this is
ambiguous.
The authors thank the reviewer for pointing this
out. It did seem ambiguous and has been
rewritten to reflect the adjusted scale reliability.
ORIGINAL:
The original scale was found to be reliable with
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a Cronbach's Alpha of .889 (Boyle, et al., 2013).
For the sample of 465 participants the scale was
found to have acceptable reliability with a
Cronbach's Alpha of .74 (Cronbach, 1951).
CHANGED:
The original scale was found to be reliable with
a Cronbach's Alpha of .889 (Boyle, et al., 2013).
For the sample of 465 participants the adjusted
scale was found to have acceptable reliability
with a Cronbach's Alpha of .74 (Cronbach,
1951).
The provision of the definition used for
coding ‘advanced understanding of
inclusion’ is helpful. The definitions used
for coding ‘integration’ and ‘basic
understanding of inclusion’ are also
needed.
Reviewer One also had concerns regarding the
explanation of definitions. This has been
expanded on
ADDITION
To qualify as advanced the definition needed to
identify factors such as modifying curriculum to
suit needs of students, valuing all students, ideas
about equality and justice, and avoiding limiting
the definition to individual groups such as those
that have physical disabilities. A definition was
classified as basic if it failed to mention
processes such as changes in the education
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environment, or make no mention of the values
and inclusionary practices that underlie the
practice of inclusion. Finally definitions were be
classified as integration if it did not identify the
need of modifying the environment to the child
or limited inclusion to a specific group of
children rather than all children. If the definition
discussed something that was neither
classifiable as inclusion or integration then it
was to be scored as a 'one' and if no definition
was given at all it was coded as a 'zero'.
Regarding PCA, it is insufficient to state
‘statistical methods were used’. Please
elaborate.
ORIGINAL:
Using statistical methods (Horn & Cattell, 1966;
Watkins, 2000) it was determined that three
components were to be retained. This three
component solution explained a cumulative
variance of 40.27%.
CHANGED:
Using software for calculating Parallel Analysis
(Watkins, 2000) and the scree plot (Catell,
1966) it was determined that three components
were to be retained. Varimax rotation was used
in this PCA as it is the most frequently used
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orthogonal rotation (Pallant, 2011). This three
component solution explained a cumulative
variance of 40.27%. By looking at the rotated
component matrix it is possible to see that four
items loaded onto two components, suggesting
that Thurstone's (1947) simple structure was not
entirely achieved. However as there was no
cross loadings between component two and
component three they appear to be the most
unique.
Which version of SPSS was used? ORIGINAL:
SPSS was used for data input and analysis.
CHANGED:
The Statistical Package for Social Scientists,
version 17 (SPSS V17) was used for data input
and analysis.
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